Visualizations Project

by: Anastasiia Tananaiska

About Data

My dataset contains some of the major songs attributes (like acousticness, loudness, danceability, energy, etc) that describe certain songs from years 1960's up to 2010's (there's an equal division of hit songs and non-hit ones) therefore I decided to build the analysis mostly on that data. Besides that I also added the info about release dates, genres and country of artist's origin.

Merging Data

Cleaning and preparing data

Visualization #1

For the first visual I'm exploring the distribution of the song features for each year, for both hits and non-hits songs.

I found out that the most appropriate visual type would be the box-plot as it allows to represent both statistical and visual info for each of the feature fields.

Advantages: easy to describe the distribution of the desired variables Disadvantages: restrictions in the interactivity, can't apply the selection. In my case that was not a major problem as there wasn't much years

Visualization #2

Second insight - is the exploration of the distribution of top hits accross the available countries through years 1960's - 2010's.

Here I'm using the map with the slider that allows us to choose the year of interest.

Visualization #3